医療ビッグデータを用いた医薬品開発シーズの探索—小児医薬品開発を目指した粉末化・脱カプセル調剤の実態調査—

抄録

Medical big data is accumulated numerous medical related data day by day. These data may have tips for new approach for drug development. Authors tried to find drug-development-needs in children using medical big data analysis with prescription survey. Medical big data were provided from JMDC (Japan Medical Data Centre) Inc. about 3 million participants between January 2005 and June 2017. In these, we identified randomly identified 22787 participants from 466701 participants who are aged ≤11 years. In these participants, 9644 were administered “capsule,” “tablet,” “orally distegrating tablet,” “controlled release tablet/capsule” or “enteric coated tablet” formula drugs. In these, 514 were administered these as powderization or decapsulation. Sixty components administered in 145 participants (28.2%) are not marketed for pediatric formula. On the other hands, 92 components administered in 369 participants (71.8%) are decapsulation or powderization, though pediatric formulas are marketed. These 152 components may have a development seeds for children. In conclusion, prescription survey using medical big data may partially resolve the drug-development-need in pediatrics because by using medical big data will leads low biased data depending each institution.